10/28/2023 0 Comments Nuance virtual medical scribe![]() Sensors at the bedside and in the bed aid in identifying at-risk patients, by monitoring vital signs and detecting the early signs of an upcoming problem. Information from connected sensors supports clinical workflows at every point. ![]() Natural language processing (NLP) and other methods will extract essential clinical insights converting those insights into real-world evidence, which in turn enhances clinical decision-support tools powered by NLP and AI. However, the volume of data generated from patients and clinical activities can easily overwhelm the most dedicated clinician. The clinician can have a contextual, longitudinal and real-time view of a patient’s vital signs, including heart rate, blood pressure, blood sugar and sleep patterns.Īdditional data from research and population data in the form of clinical practice guidelines, randomized clinical trials (RCTs), journal articles and real-world data (RWD) further enhance individualized understanding. Increasingly, data is generated from connected sensors, whether wearable, implanted, or in the patient’s therapeutic equipment that generate real-time and real-world data. The addition of genomic and other data will enable the development and delivery of targeted treatments based on a patient’s specific physiology and disease state. Patient data is already contained in systems of record that include medical histories, lab results, clinical images and outcomes, as well as recorded health habits and shared personal circumstances. Methods for managing and integrating those data flows will need to dramatically improve. The healthcare industry generates 30% of the world’s data volume, and its rate of growth will only increase. Information management for the busy clinician At the same time, these assistants are giving them increased power to find and apply available knowledge and, concurrently, help patients understand and manage their health. While technology has overpromised in the past, the next generation of intelligent assistants is poised to remove the burden of administration from physicians. The race is on to better connect patients and providers with data that can elevate the wellbeing of us all. Artificial intelligence (AI), intelligent information filtering and voice recognition all serve to make the trove of patient generated data intelligible and useful, leading to better patient outcomes. While patients are generating increasing amounts of data, care teams can improve care and reclaim their patient relationships with the support of advanced technologies. The cure for bad technology can be better technology - if it focuses on the relationship between clinician and patient. The current clinical environment and supporting technology infrastructure is exposing physicians to stress and burnout, while patients feel like mere objects to be processed as quickly and efficiently as possible. However, current clinical technologies, in the form of electronic health record (EHR) screens and claims processes can create friction between physicians and patients. The clinician-patient encounter is the crucial interaction in care delivery.
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